Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
Authors: Bugra Can, Mert Gurbuzbalaban, Lingjiong Zhu
ICML 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | 1We also provide numerical experiments in the supplementary ο¬le to illustrate the results of Theorem 4. |
| Researcher Affiliation | Academia | 1Department of Management Science and Information Systems, Rutgers Business School, Piscataway, NJ-08854, United States of America 2Department of Mathematics, Florida State University, 1017 Academic Way, Tallahassee, FL-32306, United States of America. |
| Pseudocode | No | The paper describes optimization algorithms using mathematical equations and textual descriptions but does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described in this paper. |
| Open Datasets | No | The paper primarily presents theoretical analysis and does not provide concrete access information for a publicly available or open dataset for training. |
| Dataset Splits | No | The paper does not provide specific dataset split information needed to reproduce the data partitioning, as it focuses on theoretical analysis. |
| Hardware Specification | No | The paper is theoretical and does not provide specific hardware details used for running its experiments. |
| Software Dependencies | No | The paper is theoretical and does not provide specific ancillary software details needed to replicate the experiment. |
| Experiment Setup | No | The paper focuses on theoretical analysis and does not provide specific experimental setup details (concrete hyperparameter values, training configurations, or system-level settings) in the main text. |